Abstract: Described are a method and an apparatus for classifying an object based on a social networking service. Feature information of an object may be acquired; a semantic vector of the feature information may be computed, the semantic vector being used to reflect a relevancy feature when segmented words exist in the feature information simultaneously; and the semantic vector of the feature information of the object may be input to a predetermined classifier, to obtain an initial category of the object after the object is classified.

Abstract: The present disclosure provides a group positioning method; the method includes: acquiring position information corresponding to positioned user identifiers in a group, to obtain a position information set; and determining a group central position according to the position information set, the number of geographical distance values that are less than or equal to a preset distance threshold among geographical distance values between the group central position and geographical positions represented by position information in the position information set being maximized. With the group positioning method provided by the present disclosure, the number of group members carrying out activities in a circular area that uses the group central position as the center and the preset distance threshold as the radius is maximized.

Abstract: Described are a method and an apparatus for classifying an object based on a social networking service. Feature information of an object may be acquired; a semantic vector of the feature information may be computed, the semantic vector being used to reflect a relevancy feature when segmented words exist in the feature information simultaneously; and the semantic vector of the feature information of the object may be input to a predetermined classifier, to obtain an initial category of the object after the object is classified.

Abstract: The present disclosure provides a group positioning method; the method includes: acquiring position information corresponding to positioned user identifiers in a group, to obtain a position information set; and determining a group central position according to the position information set, the number of geographical distance values that are less than or equal to a preset distance threshold among geographical distance values between the group central position and geographical positions represented by position information in the position information set being maximized. With the group positioning method provided by the present disclosure, the number of group members carrying out activities in a circular area that uses the group central position as the center and the preset distance threshold as the radius is maximized.

Abstract: Various embodiments relate to methods, apparatuses and computer-readable mediums for organizing data relating to a product. An embodiment relates to a method for generating a modified hierarchy for a product based on data relating to the product. The method includes generating an initial hierarchy for the product, the initial hierarchy comprising a plurality of nodes, each node representing a different product aspect, the plurality of nodes being interconnected in dependence on relationships between different product aspects. The method also includes identifying a product aspect from the data. The method additionally includes determining an optimal position in the initial hierarchy for the identified product aspect by computing an objective function. The method further includes inserting the identified product aspect into the optimal position in the initial hierarchy to generate the modified hierarchy.